HBASE SCHEMA DESIGN - ApacheCon

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Summary (cont.) • Schema design is a combination of • Designing the keys (row and column) • Segregate data into column families • Choose compression and block sizes • Similar techniques are needed to scale most systems • Add indexes, partition data, consistent hashing • Denormalization, Duplication, and Intelligent Keys (DDI)
CLUSTER SIZING
Page 1 and 2: HBASE SCHEMA DESIGN and Cluster Siz
Page 3 and 4: Agenda • HBase Architecture • S
Page 5 and 6: HBase Tables
Page 7 and 8: HBase Tables
Page 9 and 10: Distribution
Page 11 and 12: HBase Architecture
Page 13 and 14: HBase Architecture (cont.) • Base
Page 15 and 16: Compactions • General Concepts
Page 17 and 18: Region Splits • Triggered by conf
Page 19 and 20: Auto Sharding and Distribution •
Page 21 and 22: Storage Separation • Column Famil
Page 23 and 24: SCHEMA DESIGN
Page 25 and 26: Key Cardinality • The best perfor
Page 27 and 28: Fold, Store, and Shift • Logical
Page 29 and 30: DDI • Stands for Denormalization,
Page 31 and 32: Tall-Narrow vs. Flat-Wide Tables
Page 33 and 34: Partial Key Scans Key - -- --- De
Page 35 and 36: Salting • Prefix row keys to gain
Page 37 and 38: Key Design
Page 39 and 40: Example: Facebook Insights • > 20
Page 41 and 42: Key Design • Reversed Domains •
Page 43: Summary • Design for Use-Case •
Page 47 and 48: Memory Sharing • By default every
Page 49 and 50: Block Cache • Use exported metric
Page 51 and 52: Write Performance • There are man
Page 53 and 54: Write-Ahead Log (cont.) • Size se
Page 55 and 56: Flushes • Every mutation call (pu
Page 57 and 58: Dependencies • Flushes happen acr
Page 59 and 60: Some More Numbers • Under real wo
Page 61 and 62: Cheat Sheet #1 • Ensure you have
Page 63 and 64: Example • Java Xmx heap at 10GB

HBASE SCHEMA DESIGN - ApacheCon

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